Joby Aviation (JOBY) Shares Outstanding (Diluted) (2020 - 2026)
Joby Aviation (JOBY) reported Shares Outstanding (Diluted) of 969.91 million for Q2 2026, up 21.7% from 796.8 million a year earlier and up 2.8% from the prior quarter.
Powered by 
Analysis
Joby Aviation (JOBY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Joby Aviation posted Shares Outstanding (Diluted) of 826.24 million, up 18.1% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 51.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 699.79 million in FY2024 (+8.0%), 647.91 million in FY2023 (+10.7%), 585.54 million in FY2022 (+98.6%) and 294.85 million in FY2021 (+183.7%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2020.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 19 quarters, with growth averaging 15.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 0.5% in Q3 2024 to 457.1% in Q1 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 943.5 million (Q1 2026), 826.24 million (Q4 2025) and 844.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 1.05 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 1.37 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 231.10 Mn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 402.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 273.52 Mn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 167.20 Mn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 142.40 Mn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 318.60 Mn |
| 10 | Joby Aviation | 5.87 Bn | 5.87 Bn | - | 969.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 969.91 Mn |
| Mar 31, 2026 | 943.50 Mn |
| Dec 31, 2025 | 826.24 Mn |
| Sep 30, 2025 | 844.55 Mn |
| Jun 30, 2025 | 796.80 Mn |
| Mar 31, 2025 | 766.91 Mn |
| Dec 31, 2024 | 699.79 Mn |
| Sep 30, 2024 | 695.01 Mn |
| Jun 30, 2024 | 689.32 Mn |
| Mar 31, 2024 | 681.75 Mn |
| Dec 31, 2023 | 647.91 Mn |
| Sep 30, 2023 | 691.46 Mn |
| Jun 30, 2023 | 636.68 Mn |
| Mar 31, 2023 | 605.18 Mn |
| Dec 31, 2022 | 585.54 Mn |
| Sep 30, 2022 | 583.97 Mn |
| Jun 30, 2022 | 581.27 Mn |
| Mar 31, 2022 | 579.09 Mn |
| Dec 31, 2021 | 294.85 Mn |
| Sep 30, 2021 | 385.56 Mn |
API Access
Joby Aviation Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=JOBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JOBY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=JOBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();